Live reporting for hypoxia : Hypoxia sensor–modified mesenchymal stem cells as in vitro reporters

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Schmitz, C.; Pepelanova, I.; Seliktar, D.; Potekhina, E.; Belousov, V.V. et al.: Live reporting for hypoxia : Hypoxia sensor–modified mesenchymal stem cells as in vitro reporters. In: Biotechnology and Bioengineering 117 (2020), Nr. 11, S. 3265-3276. DOI: https://doi.org/10.1002/bit.27503

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Sum total of downloads: 132




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Abstract: 
Natural oxygen gradients occur in tissues of biological organisms and also in the context of three-dimensional (3D) in vitro cultivation. Oxygen diffusion limitation and metabolic oxygen consumption by embedded cells produce areas of hypoxia in the tissue/matrix. However, reliable systems to detect oxygen gradients and cellular response to hypoxia in 3D cell culture systems are still missing. In this study, we developed a system for visualization of oxygen gradients in 3D using human adipose tissue–derived mesenchymal stem cells (hAD-MSCs) modified to stably express a fluorescent genetically engineered hypoxia sensor HRE-dUnaG. Modified cells retained their stem cell characteristics in terms of proliferation and differentiation capacity. The hypoxia-reporter cells were evaluated by fluorescence microscopy and flow cytometry under variable oxygen levels (2.5%, 5%, and 7.5% O2). We demonstrated that reporter hAD-MSCs output is sensitive to different oxygen levels and displays fast decay kinetics after reoxygenation. Additionally, the reporter cells were encapsulated in bulk hydrogels with a variable cell number, to investigate the sensor response in model 3D cell culture applications. The use of hypoxia-reporting cells based on MSCs represents a valuable tool for approaching the genuine in vivo cellular microenvironment and will allow a better understanding of the regenerative potential of AD-MSCs. © 2020 The Authors. Biotechnology and Bioengineering published by Wiley Periodicals LLC
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2020
Appears in Collections:Naturwissenschaftliche Fakultät

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pos. country downloads
total perc.
1 image of flag of Germany Germany 83 62.88%
2 image of flag of United States United States 22 16.67%
3 image of flag of China China 7 5.30%
4 image of flag of Austria Austria 3 2.27%
5 image of flag of No geo information available No geo information available 2 1.52%
6 image of flag of United Kingdom United Kingdom 2 1.52%
7 image of flag of Canada Canada 2 1.52%
8 image of flag of Korea, Republic of Korea, Republic of 1 0.76%
9 image of flag of Japan Japan 1 0.76%
10 image of flag of India India 1 0.76%
    other countries 8 6.06%

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